Renewable Vision energy data

Oil price outlook

oil_outlook

Read-only

This platform’s oil price and production strategy model: Brent today, the model’s monthly path for the next 24 months under current Saudi and OPEC+ policy (anchored to the EIA outlook and the futures strip, with the unanchored structural path beside it) with a Monte Carlo fan (P10–P90), the OECD stocks and balance behind it, the EIA Short-Term Energy Outlook and the WTI futures strip as benchmarks, World Bank and IMF price assumptions, the inventory–price calibration with its fit statistics, and what changed since the previous EIA outlook. Modelled scenario analysis, not a forecast.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "oil_outlook"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 10, 2026

TDQS

A3.5/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that this is a read-only, closed-world, non-destructive operation, so the description's main added value is disclosing the modelled nature of the output: Saudi and OPEC+ policy anchoring, the unanchored structural path, Monte Carlo P10–P90, and inventory–price calibration. It does not state update cadence or data freshness, but it adds substantial behavioral context beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded with Brent today and the 24-month path, but the main sentence is a dense, run-on enumeration of many outputs. There is some redundancy, including repeated references to the EIA outlook and the futures strip, which makes the description harder to scan than necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Because there is no output schema, the description carries the burden of explaining the return contents, and it does so by listing the major components: price path, scenario fan, stocks and balance, benchmarks, assumptions, calibration and changes since the prior EIA outlook. It is missing update cadence and exact output structure, but it is otherwise complete for a zero-parameter retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics for the description to clarify. The empty schema is consistent with the description, which appropriately focuses on what the no-argument call returns.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific resource: this platform's oil price and production strategy model, including Brent today, a 24-month path, Monte Carlo ranges, balances, benchmarks and calibration. It also distinguishes the output as modelled scenario analysis rather than a forecast. It lacks a crisp verb and does not explicitly route the agent away from similarly named siblings such as oil_scenario or oil_balance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says what the tool contains but not when an agent should choose it over oil_scenario, oil_balance or other outlook tools. The only usage-adjacent statement is the caveat that this is modelled scenario analysis, not a forecast, which is context rather than selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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